We use \(\textbf {{\texttt {emcee}}}\) , a Python based package, to perform the Markov Chain Monte Carlo (MCMC) [1]}. We find the best fit of all parameters and once the MCMC method is performed, the confidence level with their \(68\%,~95\%\)  and \(99\%\)  uncertainties are computed with the Python package \(\textbf {{\texttt {corner}}}\)[2]}.
